GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
“深度调研专家。针对特定主题进行系统性信息挖掘、交叉验证、形成报告。”
Install Deep Research
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deep-research .claude/skills/deep-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deep-research .cursor/skills/deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/charlie-chann/ai-agent-langgraph-main.git --path skills/deep-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deep-research .gemini/skills/deep-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deep-research .github/skills/deep-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install charlie-chann/ai-agent-langgraph-main deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/charlie-chann/ai-agent-langgraph-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deep-research .opencode/skills/deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/charlie-chann/ai-agent-langgraph-main/tree/master/skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deep-research- GitHub stars
- 114
- Token cost
- ~336 tokens
- SKILL.md length
- 37 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- None found
At a glance
- SKILL.md covers 使用场景, 工作流程, 采集策略 and 调研报告格式, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
Deep Research is a skill in charlie-chann/ai-agent-langgraph-main (114 stars). Its SKILL.md is about 336 tokens. No licence found.
What it can do on your machine
Read from SKILL.md and the folder at commit 3953a8f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deep Research loads about 336 tokens when it runs. Until then it costs about 12 tokens; SKILL.md has 37 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 37 words (~336 tokens).
- name
- deep-research
Files
Just SKILL.md in skills/deep-research of charlie-chann/ai-agent-langgraph-main.
Open the folder on GitHubat commit 3953a8f
Compare with similar skills
Deep Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deep Research this skillcharlie-chann/ai-agent-langgraph-main | 114 | — | ~336 | Automated safety check: Pass | None | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
Similar skills
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
More from charlie-chann/ai-agent-langgraph-main
All 8 skills in this repoWeb Scraper
charlie-chann/ai-agent-langgraph-main
网页数据抓取专家。能提取网页正文、表格、列表、特定元素。适用于：竞品监控、价格追踪、结构化数据采集. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Harvester
charlie-chann/ai-agent-langgraph-main
多源内容采集专家。能从网页、RSS、Tavily搜索、Twitter抓取内容。适用于：信息收集、竞品监控、行业动态追踪。
Content Publisher
charlie-chann/ai-agent-langgraph-main
内容发布专家。将整理好的内容发布到Twitter、博客、飞书等平台。支持多平台适配. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Summarizer
charlie-chann/ai-agent-langgraph-main
内容摘要与改写专家。将长文、网页、PDF、视频内容提炼为结构化摘要。适用于：信息压缩、快速阅读、内容复用. An agent skill from charlie-chann/ai-agent-langgraph-main.
Content Aggregator
charlie-chann/ai-agent-langgraph-main
内容聚合与报告生成专家。将多个来源的信息整合为一份综合报告、简报、日报。
Content Organizer
charlie-chann/ai-agent-langgraph-main
内容整理与归档专家。将采集的碎片信息分类、标注、关联，形成可检索的知识库。
Related
Categories
Questions about Deep Research
How do I install Deep Research in Claude Code?
Run `npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a claude-code`. Or copy the skill folder (skills/deep-research in charlie-chann/ai-agent-langgraph-main) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research in Codex?
Run `npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a codex`. Or copy the skill folder (skills/deep-research in charlie-chann/ai-agent-langgraph-main) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add charlie-chann/ai-agent-langgraph-main --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only.
Does Deep Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Deep Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Deep Research use?
No licence was found for Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Deep Research use?
About 336 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Deep Research?
Skills that share tags, products or a category with Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
charlie-chann (a GitHub user) maintains it in charlie-chann/ai-agent-langgraph-main, which has 114 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 13, 2026.
Source: charlie-chann/ai-agent-langgraph-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.